This paper considers co-scheduling for multiple sensors to observe multiple dynamical
systems. The measurements obtained by the sensors need to be transmitted to the remote …

In this paper, we consider remote state estimation with simultaneous wireless information
and power transfer (SWIPT). A remote estimator receives the state estimate transmitted by a …

We consider the sensor scheduling problem for remote state estimation under integrity
attacks. We seek to optimize a trade-off between the energy consumption of communications …

Remote state estimation where sensors send their measurements of distributed dynamic
plants to a remote estimator over shared wireless resources is essential for mission-critical …

In this article, we consider the problem of remote state estimation of a Gauss–Markov
process, where a sensor can, at each discrete time instant, transmit on one out of M different …

In this article, we consider the optimal sensor scheduling for remote state estimation in cyber–
physical systems (CPSs). Different from the existing works concerning the time-invariant …

Remote state estimation of large-scale distributed dynamic processes plays an important
role in Industry 4.0 applications. In this paper, we focus on the transmission scheduling …

In this article, we investigate the privacy issue of the remote state estimation problem in
cyber-physical systems. Specifically, in the presence of an eavesdropper, a sensor observes …

In cyber-physical systems (CPSs), it is typical that a sensor observes a dynamical process
and transmits the state estimate to a remote estimator wirelessly. Security risks arise when a …

This work addresses the state estimation problem for recurrent neural networks over
capacity-constrained communication channels. The intermittent transmission protocol is …